Building on the Java EE 7 support of its GlassFish 4.1 core, Payara Micro enables you to run Java EE 7 based applications from the command line without any application server installation. In this hands-on workshop/tutorial, we will provide you with an overview of Payara Micro and the services offered by this distribution from Payara. Furthermore, we will walk you through how to setup, develop and use Payara Micro to run applications deployed in a Payara Micro cluster.

This hands-on workshop will give you a unique opportunity to play around with the newest release of the Badass Fish - Payara Micro! Supported by David Winters, Payara Engineer, you will be able to try the new application server to see what’s new, and learn all of its exciting new features! As usual, beer and pizza will be provided to fuel you up for the two hours of Payara-hacking :)

We will also be giving away two Payara goodie bags at the end of the event!

Register Here:

Speaker

David Winters is a Senior Support Engineer at Payara. He has over 9 years support and development experience working on various Java EE frameworks and business critical applications for customers across multiple industry domains. Dave has a keen interest in performance tuning of middleware and EAI technologies, and furthering his knowledge of data analytics using machine learning tools and algorithms to perform predictive analytics on different problem types.

What is Payara Micro?

Payara Micro is our first release of a new way of running Java EE applications. Building on the Java EE 7 support of its GlassFish 4.1 core Payara Micro enables you to run war files from the command line without any application server installation.

That’s not all! Using the Hazelcast integration each Payara Micro process will automagically cluster with other Payara Micro processes on the network, giving web session resilience and a fully distributed data cache using Payara’s JCache support.

Why Payara Micro?

Payara Micro is small, only 57MB in size and incredibly simple to use. With its automatic and elastic clustering it is designed for running Java EE applications in a modern containerized/virtualized infrastructure using automated provisioning tools like Chef, Ansible or Puppet.

As each Payara Micro server will automatically cluster with other servers on the network your Java EE application can be elastically scaled horizontally by adding and removing containers based on demand.

About Payara

Payara Server - Derived from GlassFish, with 24/7 Production Support.
Payara Server is a drop in replacement for GlassFish Server Open Source Edition, with the peace of mind of quarterly releases containing enhancements, bug fixes and patches.